{"title":"The use of cognitive load theory to assist in the teaching of electrocardiogram interpretation within paramedical science education","authors":"Marc Gildas Thomas","doi":"10.1111/tct.13759","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Paramedics are expected to record electrocardiograms (ECGs) as part of their clinical assessment; however, it is an extremely difficult skill to learn and understand as it has a high intrinsic cognitive load which can also be challenging to teach effectively.</p>\n </section>\n \n <section>\n \n <h3> Aims</h3>\n \n <p>This article will explore the use of cognitive load theory to assist in the teaching of ECG interpretation within the context of paramedical education.</p>\n </section>\n \n <section>\n \n <h3> Description</h3>\n \n <p>Cognitive load theory can be useful to aid teaching within complex medical and health science domains including clinical skills teaching.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The application of cognitive load theory to the teaching of ECG interpretation can be useful as it allows for the development of understanding, building schemata linking information currently being learned to knowledge already gained within the long-term memory, which can maximise germane load by the appropriate selection of intrinsic load, minimising extraneous load therefore not overloading the working memory.</p>\n </section>\n </div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/tct.13759","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/tct.13759","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Paramedics are expected to record electrocardiograms (ECGs) as part of their clinical assessment; however, it is an extremely difficult skill to learn and understand as it has a high intrinsic cognitive load which can also be challenging to teach effectively.
Aims
This article will explore the use of cognitive load theory to assist in the teaching of ECG interpretation within the context of paramedical education.
Description
Cognitive load theory can be useful to aid teaching within complex medical and health science domains including clinical skills teaching.
Conclusions
The application of cognitive load theory to the teaching of ECG interpretation can be useful as it allows for the development of understanding, building schemata linking information currently being learned to knowledge already gained within the long-term memory, which can maximise germane load by the appropriate selection of intrinsic load, minimising extraneous load therefore not overloading the working memory.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.